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Brain functional integration: an epidemiologic study on stress-producing dissociative phenomena

Overview of attention for article published in Neuropsychiatric Disease and Treatment, December 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
9 tweeters
facebook
3 Facebook pages
video
1 video uploader

Citations

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12 Dimensions

Readers on

mendeley
60 Mendeley
Title
Brain functional integration: an epidemiologic study on stress-producing dissociative phenomena
Published in
Neuropsychiatric Disease and Treatment, December 2017
DOI 10.2147/ndt.s146250
Pubmed ID
Authors

Raffaele Sperandeo, Vincenzo Monda, Giovanni Messina, Marco Carotenuto, Mauro Maldonato, Enrico Moretto, Elena Leone, Vincenzo De Luca, Marcellino Monda, Antonietta Messina

Abstract

Dissociative phenomena are common among psychiatric patients; the presence of these symptoms can worsen the prognosis, increasing the severity of their clinical conditions and exposing them to increased risk of suicidal behavior. Personality disorders as long duration stressful experiences may support the development of dissociative phenomena. In 933 psychiatric outpatients consecutively recruited, presence of dissociative phenomena was identified with the Dissociative Experience Scale (DES). Dissociative phenomena were significantly more severe in the group of people with mental disorders and/or personality disorders. All psychopathologic traits detected with the symptom checklist-90-revised had a significant correlation with the total score on the DES. Using total DES score as the dependent variable, a linear regression model was constructed. Mental and personality disorders which were associated with greater severity of dissociative phenomena on analysis of variance were included as predictors; scores from the nine scales of symptom checklist-90-revised, significantly correlated to total DES score, were used as covariates. The model consisted of seven explanatory variables (four factors and three covariates) explaining 82% of variance. The four significant factors were the presence of borderline and narcissistic personality disorder, substance abuse disorders and psychotic disorders. Significant covariates were psychopathologic traits of anger, psychoticism and obsessiveness. This study, confirming Janet's theory, explains that, mental disorders and psychopathologic experiences of patients can configure the chronic stress condition that produces functional damage to the adaptive executive system. The symptoms of dissociative depersonalization/derealization and dissociative amnesia can be explained, in large part, through their current and previous psychopathologic experiences.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Student > Ph. D. Student 6 10%
Student > Bachelor 5 8%
Student > Doctoral Student 4 7%
Student > Postgraduate 4 7%
Other 14 23%
Unknown 16 27%
Readers by discipline Count As %
Psychology 19 32%
Medicine and Dentistry 8 13%
Neuroscience 8 13%
Social Sciences 2 3%
Economics, Econometrics and Finance 1 2%
Other 4 7%
Unknown 18 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 February 2020.
All research outputs
#2,900,879
of 16,547,829 outputs
Outputs from Neuropsychiatric Disease and Treatment
#447
of 2,618 outputs
Outputs of similar age
#91,977
of 413,304 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#12
of 67 outputs
Altmetric has tracked 16,547,829 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,618 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 413,304 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 67 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.